Chest imaging examination plays an important role in the diagnosis,evaluation and prognosis of interstitial lung disease(ILD).However,the widely used chest high-resolution computed tomography(CT)can only reveal the extent and morphological characteristics of pulmonary lesions,but it can not reflect the pathophysiological process(inflammation or fibrosis)of pulmonary lesions.Recent studies showed that fibroblast activation protein(FAP)can be relatively specifically expressed in fibroblasts activated in fibrotic ar-eas,and FAP inhibitor positron emission tomography(FAPI-PET)may reflect the degree of pulmonary fibrosis and the activity of fibroblasts,which has been used to evaluate the degree of fibrosis in various ILD.In this pa-per,the role and expression of FAP in pulmonary fibrosis and inflammatory tissue of ILD are reviewed,and the recent application of FAPI-PET in various ILD is summarized,which provides insight for the development of new imaging methods for the diagnosis and assessment of ILD.

Objective:To investigate the feasibility and clinical value of artificial intelligence-assisted compressed sensing (ACS) technology in accelerating MR simulation (MR-sim) for radiotherapy of nasopharyngeal carcinoma (NPC).Methods:Thirty patients with NPC scheduled to receive radical radiotherapy at Sun Yat-sen University Cancer Center were prospectively enrolled. All patients underwent head and neck MR-sim on a 3.0 T scanner, with axial T 1 weighted imaging (WI), T 2WI, contrast-enhanced T 1WI, and fat-suppressed contrast-enhanced T 1WI images acquired using both ACS and parallel imaging (PI) techniques. Paired-sample t tests or rank-sum tests were used to compare scan time, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of MR-sim images between the two techniques. A 5-point Likert scale was applied to evaluate tumor lesion visualization, lesion margin clarity, artifacts, and overall image quality, with chi-square tests used to compare subjective image quality scores between the two techniques. Tumor target volumes were delineated on MR-sim images obtained by both ACS and PI techniques after fusion with CT simulation images, and consistency was assessed using the Dice similarity coefficient (DSC). Results:For both individual sequences and overall protocols, ACS significantly reduced MR-sim acquisition time compared with PI ( P < 0.001). The total acquisition time with ACS was (378.60±17.07) s versus (694.93±17.07) s with PI, representing a 45.52% time reduction. SNR, CNR, tumor lesion identification, margin clarity, artifacts, and overall image quality scores of MR-sim images did not differ significantly between ACS and PI ( P > 0.05). Tumor target volumes delineated from ACS- and PI-based MR-sim images showed high consistency after fusion with CT simulation images ( P > 0.05), with mean DSC values of primary tumors and metastatic cervical lymph nodes approaching 1. Conclusion:Compared with conventional MR acceleration methods (PI), ACS enables faster MR-sim acquisition in NPC without compromising image quality or the accuracy of tumor target delineation.

Objective To explore the function of electroacupuncture(EA)on body mass,fasting blood glucose,heat pain threshold,and transient receptor potential vanilloid 4(TRPV4)in the dorsal root ganglia(DRG)of rats with diabetic neuropathic pain(DNP).Methods A DNP rat model was formed by intraperitoneally injecting the animals with STZ.From days 15 to 21,bilateral Zusanli and Kunlun points of the DNP rat model were treated with electroacupuncture once daily for 30 min.We then measured their body mass,fasting blood glucose,and heat pain threshold.The co-expression of TRPV4 and NeuN in the rat L4～L6 DRG was detected by immunofluorescence.The effects of the TRPV4 agonist GSK1016790A on body mass,fasting blood glucose,and the heat pain threshold of DNP rats treated with electroacupuncture were detected.Results After the 7th day,body mass was significantly decreased(P<0.01)and fasting glucose was significantly increased(P<0.01)in the model group compared with the normal group.After the 21st day,compared with the model group,heat pain threshold of the model+electroacupuncture group was significantly higher(P<0.01);the results of co-expression of TRPV4 and NeuN immunofluorescence on rat L4～L6 DRG showed that:the expression of positive cells in the model group was significantly higher(P<0.01)than that in the normal group,the co-expression of TRPV4 and NeuN positive cells in L4～L6 DRG of rats in the model+electroacupuncture group was significantly lower(P<0.01)than that in the model group.The TRPV4 agonist GSK1016790A can reverse the downregulation of thermal pain threshold induced by electroacupuncture in DNP rats(P<0.01).Conclusion Electroacupuncture alleviated the DNP induced by STZ,and its mechanism may involve the inhibition of TRPV4 protein expression in the DRG.

Chest imaging examination plays an important role in the diagnosis,evaluation and prognosis of interstitial lung disease(ILD).However,the widely used chest high-resolution computed tomography(CT)can only reveal the extent and morphological characteristics of pulmonary lesions,but it can not reflect the pathophysiological process(inflammation or fibrosis)of pulmonary lesions.Recent studies showed that fibroblast activation protein(FAP)can be relatively specifically expressed in fibroblasts activated in fibrotic ar-eas,and FAP inhibitor positron emission tomography(FAPI-PET)may reflect the degree of pulmonary fibrosis and the activity of fibroblasts,which has been used to evaluate the degree of fibrosis in various ILD.In this pa-per,the role and expression of FAP in pulmonary fibrosis and inflammatory tissue of ILD are reviewed,and the recent application of FAPI-PET in various ILD is summarized,which provides insight for the development of new imaging methods for the diagnosis and assessment of ILD.

Objective To explore the function of electroacupuncture(EA)on body mass,fasting blood glucose,heat pain threshold,and transient receptor potential vanilloid 4(TRPV4)in the dorsal root ganglia(DRG)of rats with diabetic neuropathic pain(DNP).Methods A DNP rat model was formed by intraperitoneally injecting the animals with STZ.From days 15 to 21,bilateral Zusanli and Kunlun points of the DNP rat model were treated with electroacupuncture once daily for 30 min.We then measured their body mass,fasting blood glucose,and heat pain threshold.The co-expression of TRPV4 and NeuN in the rat L4～L6 DRG was detected by immunofluorescence.The effects of the TRPV4 agonist GSK1016790A on body mass,fasting blood glucose,and the heat pain threshold of DNP rats treated with electroacupuncture were detected.Results After the 7th day,body mass was significantly decreased(P<0.01)and fasting glucose was significantly increased(P<0.01)in the model group compared with the normal group.After the 21st day,compared with the model group,heat pain threshold of the model+electroacupuncture group was significantly higher(P<0.01);the results of co-expression of TRPV4 and NeuN immunofluorescence on rat L4～L6 DRG showed that:the expression of positive cells in the model group was significantly higher(P<0.01)than that in the normal group,the co-expression of TRPV4 and NeuN positive cells in L4～L6 DRG of rats in the model+electroacupuncture group was significantly lower(P<0.01)than that in the model group.The TRPV4 agonist GSK1016790A can reverse the downregulation of thermal pain threshold induced by electroacupuncture in DNP rats(P<0.01).Conclusion Electroacupuncture alleviated the DNP induced by STZ,and its mechanism may involve the inhibition of TRPV4 protein expression in the DRG.

Objective:To investigate the feasibility and clinical value of artificial intelligence-assisted compressed sensing (ACS) technology in accelerating MR simulation (MR-sim) for radiotherapy of nasopharyngeal carcinoma (NPC).Methods:Thirty patients with NPC scheduled to receive radical radiotherapy at Sun Yat-sen University Cancer Center were prospectively enrolled. All patients underwent head and neck MR-sim on a 3.0 T scanner, with axial T 1 weighted imaging (WI), T 2WI, contrast-enhanced T 1WI, and fat-suppressed contrast-enhanced T 1WI images acquired using both ACS and parallel imaging (PI) techniques. Paired-sample t tests or rank-sum tests were used to compare scan time, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of MR-sim images between the two techniques. A 5-point Likert scale was applied to evaluate tumor lesion visualization, lesion margin clarity, artifacts, and overall image quality, with chi-square tests used to compare subjective image quality scores between the two techniques. Tumor target volumes were delineated on MR-sim images obtained by both ACS and PI techniques after fusion with CT simulation images, and consistency was assessed using the Dice similarity coefficient (DSC). Results:For both individual sequences and overall protocols, ACS significantly reduced MR-sim acquisition time compared with PI ( P < 0.001). The total acquisition time with ACS was (378.60±17.07) s versus (694.93±17.07) s with PI, representing a 45.52% time reduction. SNR, CNR, tumor lesion identification, margin clarity, artifacts, and overall image quality scores of MR-sim images did not differ significantly between ACS and PI ( P > 0.05). Tumor target volumes delineated from ACS- and PI-based MR-sim images showed high consistency after fusion with CT simulation images ( P > 0.05), with mean DSC values of primary tumors and metastatic cervical lymph nodes approaching 1. Conclusion:Compared with conventional MR acceleration methods (PI), ACS enables faster MR-sim acquisition in NPC without compromising image quality or the accuracy of tumor target delineation.

Optical coherence tomography angiography(OCTA)is a non-invasive imaging technique that provides three-dimensional,informative vascular images.Numerous studies have shown that OCTA technology has unique advantages in biomarker quantification,diagnosis and monitoring,and has therefore been rapidly applied in experiments and clinical stud-ies.Image analysis tools can quickly and accurately quantify vascular and pathological features,greatly improving the value of OCTA imaging.In recent years,artificial intelligence(AI)has become the most powerful image analysis method,espe-cially deep learning-based image analysis,which can provide accurate measurements in various situations,including differ-ent diseases and eye regions.The Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Asso-ciation and the Ophthalmology Committee of International Association of Translational Medicine designated experts to sum-marize the application of AI in OCTA image analysis and disease diagnosis at home and abroad,including accurate detection of choroidal neovascularization and other lesions,accurate quantification of retinal perfusion,and reliable disease diagno-sis.They also analyzed the current challenges and development directions.After multiple rounds of discussion and revi-sions,they drafted the guidelines for the application of AI in OCTA image analysis and ocular disease diagnosis,aiming to provide new insights and references for clinical practice.

The accuracy of ultrasound examination and measurement is of great significance to diagnosing ocular disea-ses.The commonly used ocular ultrasonography includes amplitude(A)-mode ultrasound,brightness(B)-mode ultra-sound,ultrasound biomicroscopy(UBM),and color Doppler flow imaging(CDFI).A-mode ultrasound is mainly used to measure the distance between tissues with different echo intensities.B-mode ultrasound can visualize the two-dimensional structure of the eye and make quantitative measurements of the target point.UBM is an ultra-high-frequency two-dimen-sional imaging method,which can clearly display the structural characteristics of the anterior segment and measure the rele-vant parameters.It can also help quantitatively analyze the morphological changes of the angle and the anterior segment be-fore and after implantable collamer lens surgery.CDFI can quantitatively measure the parameters of blood vessels by apply-ing the Doppler effect on the basis of two-dimensional ultrasound,reflecting the changes of blood flow in the eye.To standardize the operations of different ultrasound examination methods,this guideline is formulated.This guideline mainly focuses on the standardized operation of ocular ultrasound instruments and their clinical application in ocular diseases,so as to provide guidance for the diagnosis and treatment of related ocular diseases.

Senile macular degeneration(SMD)is a complex,highly heritable,and multifactorial disease that leads to the aging-related change in the macular region,characterized by progressive retinal degeneration and progressive loss of vi-sion.About 200 million people worldwide suffer from SMD,and the incidence is increasing as the population ages.Artifi-cial intelligence(AI)technology has developed rapidly in recent years,and its application in the medical field has brought new possibilities for the development of the medical industry.AI-based qualitative and quantitative evaluation of retinal fluid can not only facilitate the diagnosis of neovascular SMD but also help adjust the treatment plan timely according to the effect,so as to provide more targeted treatment for patients.This guide summarizes the application of AI in the treatment of SMD,including the application progress,clinical application and future development of AI in retinal fluid monitoring,to pro-vide sufficient support for ophthalmologists to evaluate patient's conditions,design treatment plans and estimate prognosis.